Advanced Adaptive Prognostication Algorithms with Application to BMS, Automotive, and Aerospace Systems

This thesis aims to solve several important problems in engineering. Four fundamental areas of research have been examined: (i) Battery Management Systems; (ii) Battery Fuel Gauging; (iii) Condition-based Maintenance; and (iv) Prognosis in Coupled Systems. The prognostication algorithms developed have been validated on data collected from either real-world or hardware-in-the-loop experiments or both. The approaches proposed are modular and have the potential to be applicable to a wide variety of complex systems, ranging from portable applications to automotive and aerospace systems.